Eric Silverman
Impact in
-
- demographic modeling and climate adaptation
- Simulation Techniques and Applications
- Demography top 5%
- Insurance, Mortality, Demography, Risk Management
- Migration, Aging, and Tourism Studies
Papers in
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- demographic modeling and climate adaptation 16
- Demography 13
- Insurance, Mortality, Demography, Risk Management 9
- Migration, Aging, and Tourism Studies 3
- Co-authors
- Jakub Bijak (15 shared papers)Claudio Angione (1 shared paper)Elisabeth Yaneske (1 shared paper)Jason Noble (8 shared papers)John Bryden (4 shared papers)Daniel Courgeau (4 shared papers)Robert Franck (4 shared papers)Seth Bullock (5 shared papers)
- Journals
- PLoS ONE (4 papers)Demographic Research (2 papers)Artificial Life (2 papers)Journal of the American College of Cardiology (1 paper)Medical Teacher (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Eric Silverman
54 papers receiving 500 citations
Peers
Comparison fields: 5 of 117
- Management Science and Operations Research 158
- Demography 116
- Modeling and Simulation 27
- Family Practice 6
- Transportation 24
Countries citing papers authored by Eric Silverman
This map shows the geographic impact of Eric Silverman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric Silverman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Silverman more than expected).
Fields of papers citing papers by Eric Silverman
This network shows the impact of papers produced by Eric Silverman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric Silverman. The network helps show where Eric Silverman may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Silverman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2013 | 40 | |
| 3 | 2013 | 33 | |
| 4 | 2012 | 26 | |
| 5 | 2016 | 26 | |
| 6 | 2020 | 24 | |
| 7 | 2016 | 23 | |
| 8 | 2011 | 22 | |
| 9 | 2017 | 21 | |
| 10 | 2015 | 21 | |
| 11 | 2018 | 21 | |
| 12 | 2003 | 16 | |
| 13 | 2007 | 15 | |
| 14 | 2013 | 12 | |
| 15 | 2013 | 11 | |
| 16 | 2014 | 11 | |
| 17 | 2016 | 10 | |
| 18 | 2014 | 10 | |
| 19 | 2019 | 8 | |
| 20 | 2011 | 7 |
About Eric Silverman
Eric Silverman is a scholar working on Management Science and Operations Research, Demography, Sociology and Political Science, Statistical and Nonlinear Physics and General Health Professions, having authored 57 papers that have together received 525 indexed citations. Recurring topics across this work include demographic modeling and climate adaptation (16 papers), Insurance, Mortality, Demography, Risk Management (9 papers), Opinion Dynamics and Social Influence (8 papers), Evolutionary Game Theory and Cooperation (6 papers), Global Health Care Issues (5 papers), Migration, Aging, and Tourism Studies (3 papers), Health disparities and outcomes (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Management Science and Operations Research (158 citations), Demography (116 citations), Modeling and Simulation (27 citations), Family Practice (6 citations) and Transportation (24 citations). Eric Silverman has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Jakub Bijak, Claudio Angione, Elisabeth Yaneske, Jason Noble, John Bryden, Daniel Courgeau, Robert Franck, Seth Bullock, Adam I. Levine and Andrew Goldberg. Their work appears in journals such as PLoS ONE, Demographic Research, Artificial Life, Journal of the American College of Cardiology and Medical Teacher.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.